Integrative Multi-Omics Studies in Development and Diseases

A special issue of Biomolecules (ISSN 2218-273X).

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 4778

Special Issue Editors


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Guest Editor
National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA
Interests: epigenomics; proteogenomics; genome annotation; stem cells; bioinformatics

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Guest Editor
School of Basic Sciences, BioX- Center, Indian Institute of Technology-Mandi, Mandi, India
Interests: proteomics; transcriptomics; post-translational modifications; proteogenomics; systems-biology

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Guest Editor
Department of Medicine, Tulane University Health Sciences Center, New Orleans, LA 70112, USA
Interests: genomics; single-cell transcriptomics; lung biology; epigenetics; transcription; development; pulmonary disease

Special Issue Information

Dear Colleagues,

Biological processes are overwhelmingly intricate and involve a multiplex interplay of biomolecules, including DNA, RNA, Proteins, metabolites, and epigenetic modifications. High-throughput technologies, such as epigenomics: the study of epigenetic modifications; genomics: the study of genes and DNA; transcriptomics: the study of gene expression as RNA; proteomics: the study of proteins and post-translational modifications; and metabolomics: the study of metabolites are powerful methods to understand the cellular dynamics of one type of biomolecules. The datasets resulting from these OMICS technologies are increasingly complex to analyze and often are underutilized. Despite accelerated innovations on various high-throughput OMICS technologies, these methods, when in isolation, are inherently limited in their ability to provide a holistic depiction of cellular processes. The integration of datasets from two or more OMICS technologies adds complexity further, remains challenging and requires the development of specialized bioinformatics tools. Recently, studies combining different OMICS datasets from the same cellular state are increasingly used in basic and clinical research. Similar integrative multi-omics studies are better suited to inform about key determinants of disease manifestations and/or cell fate decisions during development.

This Special Issue in Biomolecules on “Integrative Multi-Omics Studies in Development and Diseases” will focus on the recent developments, methodological innovations, and future perspectives in integrating multi-omics datasets applied to improve our understanding of the development and disease phenotypes.

Dr. Dhirendra Kumar
Dr. Trayambak Basak
Dr. Brian Deskin
Guest Editors

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Keywords

  • integrative biology
  • epigenomics
  • transcriptomics
  • proteomics
  • metabolomics
  • systems biology
  • computational biology

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Published Papers (1 paper)

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Research

21 pages, 3283 KiB  
Article
A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring
by Akash Kumar Bhaskar, Salwa Naushin, Arjun Ray, Praveen Singh, Anurag Raj, Shalini Pradhan, Khushboo Adlakha, Towfida Jahan Siddiqua, Dipankar Malakar, Debasis Dash and Shantanu Sengupta
Biomolecules 2022, 12(5), 709; https://doi.org/10.3390/biom12050709 - 16 May 2022
Cited by 8 | Viewed by 4148
Abstract
Lipid compositions of cells, tissues, and bio-fluids are complex, with varying concentrations and structural diversity making their identification challenging. Newer methods for comprehensive analysis of lipids are thus necessary. Herein, we propose a targeted-mass spectrometry based lipidomics screening method using a combination of [...] Read more.
Lipid compositions of cells, tissues, and bio-fluids are complex, with varying concentrations and structural diversity making their identification challenging. Newer methods for comprehensive analysis of lipids are thus necessary. Herein, we propose a targeted-mass spectrometry based lipidomics screening method using a combination of variable retention time window and relative dwell time weightage. Using this method, we identified more than 1000 lipid species within 24-min. The limit of detection varied from the femtomolar to the nanomolar range. About 883 lipid species were detected with a coefficient of variance <30%. We used this method to identify plasma lipids altered due to vitamin B12 deficiency and found a total of 18 lipid species to be altered. Some of the lipid species with ω-6 fatty acid chains were found to be significantly increased while ω-3 decreased in vitamin B12 deficient samples. This method enables rapid screening of a large number of lipid species in a single experiment and would substantially advance our understanding of the role of lipids in biological processes. Full article
(This article belongs to the Special Issue Integrative Multi-Omics Studies in Development and Diseases)
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